marfrit 0d6ff93134 repl: :cost meta surface (Phase 7 commit #5)
User-facing reporter of the per-session accumulator. Three shapes:

  :cost            one-line summary (calls / tokens / cost)
  :cost detail     per-model + per-category breakdown
  :cost reset      zero the meter; clears warn flags

All read-only against ctx.usage_totals; no broker calls.

R6 — annotation uses the per-slot is_local sticky flag, NOT a fragile
cost==0 heuristic. Summary line classifies:

  cloud only -> "cost=$X.XXXXXX"
  cloud + local mix -> "cost=$X.XXXXXX (cloud only; local: tokens
                       but no cost field)"
  local only -> "cost=$X.XXXXXX (local only; no cost field)"

R7 — :cost detail rows sort by (cost desc, model asc, category asc).
Three-level key for deterministic output across equal-cost rows
(table.sort is unstable; identical costs would otherwise reorder).

R10 — all dollar values use $%.6f formatting. Sub-cent precision is
critical: a Haiku call can cost $0.000028; $%.4f would round it to
$0.0000 — indistinguishable from local $0.

Column width widened to %-26s to fit fully-qualified cloud model
names (e.g. "anthropic/claude-haiku-4.5" = 25 chars).

E2E verified against live cloud + local broker:

  :cost (empty session)          -> "0 calls, $0.000000"
  ...after mixed-mode session...
  :cost                          -> "5 calls, prompt=472 / completion=26
                                     tokens, cost=$0.000377 (cloud only;
                                     local: tokens but no cost field)"
  :cost detail                   -> 4 rows: main cloud $0.000219, probe
                                     cloud $0.000128, delegate cloud
                                     $0.000030, main local $0.000000
                                     (local). Sort by cost desc within
                                     model.
  :cost reset                    -> "cost meter reset"; subsequent
                                     :cost shows zeros.

All 5 categories appeared in the same session: main (twice — cloud
+ local), delegate, probe (x2 from :safety check). Warn-threshold
firing already verified in commit #3 + #4.

HELP gains 3 :cost lines.

Regression: test_safety 87/87, test_router_model 31/31, repl loads.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:02:24 +00:00

aish

aish — AI-augmented conversational shell.

A single REPL that interleaves shell command execution and language-model conversation, backed by a llama.cpp HTTP broker. Implementation is LuaJIT 2.x with FFI bindings to libcurl, GNU readline, and libc — no C extensions, no build step, one source tree.

Why

Three flows that currently live in three windows fold into one:

  1. "Run this command and show me the output" — fast feedback loop, no copy-paste between terminal and chat.
  2. "Explain or write code based on the output we just looked at" — exec output is automatically injected into the model's context.
  3. "Plan and execute a multi-step task with confirmation gates" — landing in Phase 3 as Chuck Norris autonomous mode.

aish is not a wrapper around bash. It's a first-class interactive environment where the shell is one of several execution channels.

Status

Component State
Repository skeleton in this commit
Phase 0 manifest docs/PHASE0.md — locked
Phase 0 implementation 🔜 next session
Phase 1+ 📋 enumerated in PHASE0.md §11

Every module file currently raises not implemented (Phase 0 pending) when called. luajit main.lua fails loudly at the first un-implemented function, never silently.

Quick orientation

Read this If you want to know
docs/PHASE0.md §12 What aish is and what Phase 0 ships
docs/PHASE0.md §3 Technology decisions (LuaJIT, FFI, readline, libcurl, llama.cpp)
docs/PHASE0.md §4 Directory layout — these file names are stable across all phases
docs/PHASE0.md §5 How input is dispatched (meta / shell / AI)
docs/PHASE0.md §6 Broker contract: /v1/chat/completions, CMD: extraction
docs/PHASE0.md §10 Config schema and resolution order
docs/PHASE0.md §11 Phase sequence (what lands when)
docs/PHASE0.md §13 Open questions, tracked per phase
CLAUDE.md Project conventions for AI-assisted contributors

Directory layout

aish/
├── main.lua              # entry point
├── repl.lua              # readline loop, dispatch, prompt
├── broker.lua            # llama.cpp HTTP client
├── router.lua            # input classifier (meta/shell/AI)
├── executor.lua          # command exec + CMD: extraction
├── context.lua           # in-memory turn history
├── history.lua           # disk persistence (Phase 1+)
├── safety.lua            # destructive-op gate (Phase 3+)
├── renderer.lua          # output formatting
├── config.lua            # default model registry + preferences
├── ffi/
│   ├── curl.lua          # libcurl easy interface
│   ├── readline.lua      # GNU readline
│   ├── pty.lua           # forkpty (Phase 1+)
│   └── libc.lua          # chdir, errno, strerror
└── docs/
    └── PHASE0.md         # locked substrate

Build / runtime dependencies

System packages (Debian / ALARM / Arch names):

  • luajit (>= 2.0)
  • libcurl4 / libcurl-openssl-3 runtime
  • libreadline8 runtime
  • libc6 runtime (always present)

No compilation, no luarocks, no make. Just luajit main.lua.

Running

Once Phase 0 ships:

luajit main.lua                          # uses ~/.config/aish/config.lua
luajit main.lua --config ./config.lua    # explicit config path
AISH_CONFIG=/path/to/config.lua luajit main.lua

Config resolution order is documented in docs/PHASE0.md §10.

Configuration

config.lua is a Lua file returning a single table. The committed config.lua in this repo is both the canonical example and the development-fallback config (lowest precedence). Copy it to ~/.config/aish/config.lua and edit endpoints to your local llama.cpp servers, or point AISH_CONFIG at your own.

The default endpoints assume mfritsche's home network:

  • fastdirac.fritz.box:8081 (Qwen2.5-Coder-7B q4 8k ctx)
  • deepdirac.fritz.box:8080 (Qwen2.5-Coder-7B q4 32k ctx)
  • cloudhossenfelder.fritz.box:8082 (forwards to OpenRouter)

Replace these with your own llama.cpp endpoints if you're not on that LAN.

License

Not yet selected. Default-private until decided.

Project conventions

See CLAUDE.md for contribution conventions, commit style, and the phase-loop discipline this project follows.

S
Description
AI-augmented conversational shell — LuaJIT REPL with llama.cpp broker, shell executor, and routed AI inference.
Readme MIT 2.2 MiB
Languages
Lua 99.8%
Shell 0.2%